If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
There's no doubt that Artificial Intelligence is very popular with it being a hot topic in tech circles! Many companies already use it in their business operations with huge successes (ever heard of Google, Facebook, Amazon?!) But there are still many real-world challenges, especially for small and medium-sized companies to fully embrace Artificial Intelligence. Some companies believe this is just because AI is not needed in their corporate culture while others think its because there is not enough quality data. Other reasons can be because companies don't have access to highly skilled AI professionals or they don't have the infrastructure to sustain high-level AI solutions. Most of these challenges for Artificial Intelligence faced by companies can be handled if they are keen to move ahead into the AI market.
There are many open-source projects in Artificial Intelligence that are never heard of. But many of these projects also grow to be part of the fundamentals in Artificial Intelligence. Everybody has heard about TensorFlow in the AI world! But it was initially just a project by the Google Brain team for internal Google use. Similarly, most of these open-source projects start as passion projects of developers in universities or tech companies like Google, Microsoft, etc.
Machine Learning is an area of research that allows machines the ability to learn without being directly programmed. Machine Learning development is in trend as many students, teachers, developers, and data scientists use machine learning to develop various projects and products. However, developing machine learning models require high system requirement specifications as sometimes the model training process can go from 2 hours to 2 days and more. So low-end systems can not handle training of good machine learning models or even if they somehow train models, critical system issues are likely to occur. However, there are many open-source Machine Learning environments available that do not require any system requirement specification and use cloud infrastructure to train your model in the most optimal time possible.
Artificial intelligence refers to the simulation of human intelligence in a machine that is programmed to think like humans. The idea of artificial intelligence initially begins by the computer scientist from 1943 to 1956. A model proposed by Alan Turing which is known as the Turing test. A Turing test is an algorithm that computes the data similar to human nature and behavior for proper response. Since this Turing test proposed by Alan Turing which plays one of the most important roles in the development of artificial intelligence, So Alan Turing is known as the father of artificial intelligence.
Linear regression is a statistical approach for modelling relationship between a dependent variable with a given set of independent variables. Note: In this article, we refer dependent variables as response and independent variables as features for simplicity. In order to provide a basic understanding of linear regression, we start with the most basic version of linear regression, i.e. Simple linear regression is an approach for predicting a response using a single feature. It is assumed that the two variables are linearly related.
DeepFace is the facial recognition system used by Facebook for tagging images. It was proposed by researchers at Facebook AI Research (FAIR) at the 2014 IEEE Computer Vision and Pattern Recognition Conference (CVPR). This approach focuses on alignment and representation of facial images. We will discuss these two part in detail. Alignment: The goal of this alignment part is to generate frontal face from the input image that may contain faces from different pose and angles.
Software as a service, Infrastructure as a service, Platform as a service, etc. are common services that everyone has heard of in the tech world. But what about Artificial Intelligence as a service?! Most companies these days use some sort of "as a service" to obtain services for a fee so that they can focus on their core business. But AIaaS is relatively new and its emergence is due to the rising popularity of Artificial Intelligence in the IT industry. The International Data Corporation even predicts that 75% of commercial enterprise applications will use Artificial Intelligence by 2021. This means that companies need to buck up their game and integrate AI solutions into their business and production strategies as soon as possible.
You want to learn Machine Learning but have no idea how? Well, before you embark on your epic journey into machine learning, there are some important theoretical and statistical principles you should know first. And that's where this book comes in! It is a practical and high-level introduction to Machine Learning for absolute beginners. Machine Learning For Absolute Beginners teaches you everything basic from learning how to download free datasets to the tools and machine learning libraries you will need. Topics like Data scrubbing techniques, Regression analysis, Clustering, Basics of Neural Networks, Bias/Variance, Decision Trees, etc. are also covered. So, if you haven't had that Lion King moment yet, where you proudly gaze on the expanse of ML-like Simba looks over the Pride Lands of Africa, then this is the best book to gently hoist you up and offer you a clear lay of the land.
The human brain is one of the most mystic creations, something that helped us leap into the era of existing science and technology. But with the advent of the 21st century, we all have realized that even after having such power in terms of intelligence, we still lack in many aspects which are consciously not in our control. This is where Artificial Intelligence steps in. In simple terms, we define Artificial Intelligence as'Intelligence possessed by machines'. But in a broader aspect, we define this as a simulation of human intelligence so that we can automate tasks that usually require some IQ to be performed.
Artificial Intelligence is quite powerful and is constantly evolving at an exponential rate. Artificial intelligence currently knows no bounds and is focused on outperforming its limits using the power of Machine Learning. AI is empowering computers to do things that human beings are unable to do efficiently and effectively and Machine Learning is aiding the computer to do so by breaking the rules of traditional programming. AI with ML is impacting a lot of industries by collecting a lot of data and giving some information that can be used in the further decision-making process. Below are some reasons why AI and ML hold the future of the industries.